A review of machine learning in processing remote sensing data for mineral exploration

H Shirmard, E Farahbakhsh, RD Müller… - Remote Sensing of …, 2022‏ - Elsevier
The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …

A review on advancements in lithological map** utilizing machine learning algorithms and remote sensing data

MA El-Omairi, A El Garouani - Heliyon, 2023‏ - cell.com
Lithological map** is a fundamental undertaking in geological research, mineral resource
exploration, and environmental management. However, conventional methods for …

Optimization of machine learning algorithms for remote alteration map**

Y Bahrami, H Hassani - Advances in Space Research, 2024‏ - Elsevier
World-class large to sub-economic small porphyry copper deposits (PCDs) are primarily
found in the Kerman Cenozoic Magmatic Arc (KCMA) which is a fascinating area for …

Lithospheric conductors reveal source regions of convergent margin mineral systems

A Kirkby, K Czarnota, DL Huston, DC Champion… - Scientific Reports, 2022‏ - nature.com
The clean energy transition will require a vast increase in metal supply, yet new mineral
deposit discoveries are declining, due in part to challenges associated with exploring under …

Introduction to the special Issue, insights on carbonatites and their mineral exploration approach: A challenge towards resourcing critical metals

I González-Álvarez, F Stoppa, XY Yang, A Porwal - Ore Geology Reviews, 2021‏ - Elsevier
Population growth and technological progress in the last 50 years have resulted in the
global demand for mineral resources increasing by 400% since 1970, and it is further …

Mineral Reconnaissance Through Scientific Consensus: First National Prospectivity Maps for PGE–Ni–Cu–Cr and Witwatersrand-type Au Deposits in South Africa

GT Nwaila, SE Zhang, JE Bourdeau… - Natural Resources …, 2024‏ - Springer
We present here the first experimental science (consensus)-based mineral prospectivity
map** (MPM) method and its validation results in the form of national prospectivity maps …

Cooperative geophysical inversion integrated with 3-D geological modelling in the Boulia region, QLD

M Rashidifard, J Giraud, M Lindsay… - Geophysical Journal …, 2024‏ - academic.oup.com
Reconciling rock unit boundary geometry is crucial for geological and geophysical studies
aiming to achieve a comprehensive 3-D subsurface model. To create a unified 3-D …

[HTML][HTML] Using machine learning to map Western Australian landscapes for mineral exploration

T Albrecht, I González-Álvarez, J Klump - ISPRS International Journal of …, 2021‏ - mdpi.com
Landscapes evolve due to climatic conditions, tectonic activity, geological features,
biological activity, and sedimentary dynamics. Geological processes at depth ultimately …

[HTML][HTML] Crustal architecture of the south-east Superior Craton and controls on mineral systems

DR Mole, BM Frieman, PC Thurston, JH Marsh… - Ore Geology …, 2022‏ - Elsevier
Crustal and lithospheric architecture provide a first-order control on Earth evolution,
including mineral systems. The ability to understand the internal nature and margins of …

Map** exploration targets through multifractal modelling of soil geochemical data in the **aohongshilazi Pb–Zn–(Ag) ore district, Jilin Province, NE China

H Ma, D Wang, F Bai, X Zhang, G Wang… - Geochemistry …, 2024‏ - lyellcollection.org
The **aohongshilazi Pb–Zn–(Ag) ore district, located in the Jizhong–Yanbian Metallogenic
Belt in NE China, presents challenges in identifying geochemical anomalies and …